VR001 Mide Technology Corporation, VR001 Datasheet - Page 7

• Manufacturer Part Number: VR001
• Description: VIBRATION DATA LOGGER
• Manufacturer: Mide Technology Corporation
• Series: Slam Stick™, Volture™r

Specifications of VR001

• Featured Product: Slam Stick™ Vibration Recorder
• Accessory Type: Vibration Characterization Device
• Lead Free Status / Rohs Status: Lead free by exemption / RoHS compliant by exemption
• For Use With/related Products: Volture™ Vibration Energy Harvesters
• For Use With: V25W - PIEZOELECTRIC ENERGY HARVESTERV20W - PIEZOELECTRIC ENERGY HARVESTERV21BL - PIEZOELECTRIC ENERGY HARVESTERV21B - PIEZOELECTRIC ENERGY HARVESTERV22BL - PIEZOELECTRIC ENERGY HARVESTERV22B - PIEZOELECTRIC ENERGY HARVESTER

FILE FORMATS
Native Slam Stick recordings
For technical performance reasons, the Slam Stick records vibration data and its configuration in
a custom binary format. Most users will not need to work with these data formats directly. Please
refer to the “C” examples (available from the Slam Stick download page) for the structure of the
binary recording file and configuration file.
CSV Data
CSV (Comma‐Separated Value) is a plain‐text format supported by common office and
spreadsheet applications as well as most scientific computing packages. CSV time history data
exported from the Slam Stick is saved as a list of samples in the following format:
t, X, Y, Z <newline>
where t is the time in seconds (the recording begins at t = 0), and X, Y, Z are the amplitudes in Gs
(‐16 ~ +16) for the respective axes. <newline> will be the appropriate end‐of‐line character(s) for
your operating system.
Example:
0.0,
0.000305986308852,
0.000611972617703,
…
CSV data exported from Slam Stick Viewer will be formatted as shown; likewise, CSV data
imported into Slam Stick Viewer is expected in this format. Loading arbitrary or incorrectly‐
formatted data may cause undesired operation.
The output format of FFT data is identical, except that the first column will consist of frequency
steps in Hz instead of time steps.
Due to the limited decimal precision of the time step data, when using CSV formatted data in
other applications, the following method is recommended for computing the period or sampling
frequency:
Total_time: (last_timestep – first_timestep)
Period: Total_time / (number_of_rows – 1)
Frequency: 1/Period
This will also correctly handle files whose time does not necessarily start at t=0. Since the period
is the time taken between any two samples, the total time is divided by the total number of
samples (rows) minus one.
Python Graphing UI
|
Version 1.1
0.140625,
0.140625,
0.1171875,
|
Slam Stick High Speed Portable Data Logger
1.1875,
1.1875,
1.15625,
0.0625
0.0390625
0.046875
|
PYTHON GRAPHIC UI
www.mide.com
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